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Twitter Sentiment Analysis through ETL

This project aimed to create Docker Container for ETL process development to analyse sentiment score of tweets.

Whole process is designed by following steps:

  • Step 1: Create Docker-compose file
  • step 2: Define tweet collector
  • Step 3: Create requirement file
  • Step 4: Add MongoDB and Postgres to docker-compose
  • Step 5: Create an ETL job
  • Step 6: Add the ETL job to docker-compose
  • Step 7: Add requirements for the ETL job
  • Step 8: Connect to MongoDB
  • Step 9: Import tweets in MongoDB
  • Step 10: Clean Tweets and claculate sentiment scores
  • Step 11: Connect to Postgres
  • Step 12: Create Table and insert data

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ETL pipeline development for Tweeter sentiment analysis

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